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Alejandro Moreo Fernandez 2024-09-19 15:07:55 +02:00 committed by GitHub
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@ -80,7 +80,8 @@ quantification methods based on structured output learning, HDy, QuaNet, quantif
* 32 UCI Machine Learning datasets.
* 11 Twitter quantification-by-sentiment datasets.
* 3 product reviews quantification-by-sentiment datasets.
* 4 tasks from LeQua competition (_new in v0.1.7!_)
* 4 tasks from LeQua 2022 competition (_new in v0.1.7!_)
* 4 tasks from LeQua 2024 competition (_new in v0.1.9!_)
* Native support for binary and single-label multiclass quantification scenarios.
* Model selection functionality that minimizes quantification-oriented loss functions.
* Visualization tools for analysing the experimental results.